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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Identification of Maize Leaf Diseases Using Improved Deep Convolutional Neural Networks
Xihai Zhang, Yue Qiao, Fanfeng Meng, et al.
IEEE Access (2018) Vol. 6, pp. 30370-30377
Open Access | Times Cited: 560

Showing 1-25 of 560 citing articles:

Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on Improved Convolutional Neural Networks
Peng Jiang, Yuehan Chen, Bin Liu, et al.
IEEE Access (2019) Vol. 7, pp. 59069-59080
Open Access | Times Cited: 688
Plant leaf disease classification using EfficientNet deep learning model
Ümit Atila, Murat Uçar, Kemal Akyol, et al.
Ecological Informatics (2020) Vol. 61, pp. 101182-101182
Closed Access | Times Cited: 654
Plant Disease Detection and Classification by Deep Learning
Muhammad Hammad Saleem, Johan Potgieter, Khalid Mahmood Arif
Plants (2019) Vol. 8, Iss. 11, pp. 468-468
Open Access | Times Cited: 614
Machine Learning in Agriculture: A Comprehensive Updated Review
Lefteris Benos, Aristotelis C. Tagarakis, Georgios Dolias, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3758-3758
Open Access | Times Cited: 511
Multilayer Convolution Neural Network for the Classification of Mango Leaves Infected by Anthracnose Disease
Uday Pratap Singh, Siddharth Singh Chouhan, Sukirty Jain, et al.
IEEE Access (2019) Vol. 7, pp. 43721-43729
Open Access | Times Cited: 377
Recent advances in image processing techniques for automated leaf pest and disease recognition – A review
Lawrence C. Ngugi, Moataz Abelwahab, Mohammed Abo‐Zahhad
Information Processing in Agriculture (2020) Vol. 8, Iss. 1, pp. 27-51
Open Access | Times Cited: 359
Performance analysis of deep learning CNN models for disease detection in plants using image segmentation
Parul Sharma, Yash Paul Singh Berwal, Wiqas Ghai
Information Processing in Agriculture (2019) Vol. 7, Iss. 4, pp. 566-574
Open Access | Times Cited: 292
A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases
Vijaypal Singh Dhaka, Sangeeta Vaibhav Meena, Geeta Rani, et al.
Sensors (2021) Vol. 21, Iss. 14, pp. 4749-4749
Open Access | Times Cited: 279
An optimized dense convolutional neural network model for disease recognition and classification in corn leaf
Abdul Waheed, Muskan Goyal, Deepak Gupta, et al.
Computers and Electronics in Agriculture (2020) Vol. 175, pp. 105456-105456
Open Access | Times Cited: 270
Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments
Muhammad Hammad Saleem, Johan Potgieter, Khalid Mahmood Arif
Precision Agriculture (2021) Vol. 22, Iss. 6, pp. 2053-2091
Closed Access | Times Cited: 261
Development of Efficient CNN model for Tomato crop disease identification
Mohit Agarwal, Suneet Gupta, Kanad K. Biswas
Sustainable Computing Informatics and Systems (2020) Vol. 28, pp. 100407-100407
Closed Access | Times Cited: 242
PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification
Liu Liu, Rujing Wang, Chengjun Xie, et al.
IEEE Access (2019) Vol. 7, pp. 45301-45312
Open Access | Times Cited: 216
A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework
Bifta Sama Bari, Md Nahidul Islam, Mamunur Rashid, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e432-e432
Open Access | Times Cited: 216
Plant diseases recognition on images using convolutional neural networks: A systematic review
André Abade, Paulo Afonso Ferreira, Flávio de Barros Vidal
Computers and Electronics in Agriculture (2021) Vol. 185, pp. 106125-106125
Open Access | Times Cited: 216
Rapid Detection of Rice Disease Based on FCM-KM and Faster R-CNN Fusion
Guoxiong Zhou, Wenzhuo Zhang, Aibin Chen, et al.
IEEE Access (2019) Vol. 7, pp. 143190-143206
Open Access | Times Cited: 212
A low shot learning method for tea leaf’s disease identification
Gensheng Hu, Haoyu Wu, Yan Zhang, et al.
Computers and Electronics in Agriculture (2019) Vol. 163, pp. 104852-104852
Closed Access | Times Cited: 187
A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools
Aanis Ahmad, Dharmendra Saraswat, Aly El Gamal
Smart Agricultural Technology (2022) Vol. 3, pp. 100083-100083
Open Access | Times Cited: 187
Plant Disease Classification: A Comparative Evaluation of Convolutional Neural Networks and Deep Learning Optimizers
Muhammad Hammad Saleem, Johan Potgieter, Khalid Mahmood Arif
Plants (2020) Vol. 9, Iss. 10, pp. 1319-1319
Open Access | Times Cited: 184
Plant Disease Identification Based on Deep Learning Algorithm in Smart Farming
Yan Guo, Jintun Zhang, Chengxin Yin, et al.
Discrete Dynamics in Nature and Society (2020) Vol. 2020, pp. 1-11
Open Access | Times Cited: 169
Visual Tea Leaf Disease Recognition Using a Convolutional Neural Network Model
Jing Chen, Qi Liu, Lingwang Gao
Symmetry (2019) Vol. 11, Iss. 3, pp. 343-343
Open Access | Times Cited: 165
Maize Leaf Disease Identification Based on Feature Enhancement and DMS-Robust Alexnet
Mingjie Lv, Guoxiong Zhou, Mingfang He, et al.
IEEE Access (2020) Vol. 8, pp. 57952-57966
Open Access | Times Cited: 165
Abiotic Stress in Crop Production
Romana Kopecká, Michaela Kameniarová, Martin Černý, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 7, pp. 6603-6603
Open Access | Times Cited: 151
SoyNet: Soybean leaf diseases classification
Aditya Karlekar, Ayan Seal
Computers and Electronics in Agriculture (2020) Vol. 172, pp. 105342-105342
Closed Access | Times Cited: 148
Agricultural plant diseases identification: From traditional approach to deep learning
Jameer Kotwal, Ramgopal Kashyap, M. M. Pathan
Materials Today Proceedings (2023) Vol. 80, pp. 344-356
Closed Access | Times Cited: 148
Systematic review of deep learning techniques in plant disease detection
M. Nagaraju, Priyanka Chawla
International Journal of Systems Assurance Engineering and Management (2020) Vol. 11, Iss. 3, pp. 547-560
Closed Access | Times Cited: 147
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